Abstract #0145

Fast 1H Metabolic Imaging of Cancer

Sairam Geethanath¹, Hyeon-Man Baek², Sandeep K. Ganji^2,3, Yao Ding³, Robert D. Sims⁴, Changho Choi^2,4, Vikram D. Kodibagkar^1,4

¹Joint graduate program in biomedical engineering, UT Arlington & UT Southwestern Medical Center, Dallas, TX, USA; ²Advanced Imaging Research Center, UT Southwestern Medical Center; ³Graduate program in radiological sciences, UT Southwestern Medical Center; ⁴Radiology, UT Southwestern Medical Center

MRSI has been shown to provide valuable metabolic information critical for cancer prognosis. However, the long acquisition time associated with multidimensional MRSI is a barrier for translation of this technology to the clinic. A novel approach to reduce acquisition time of MRSI has been proposed through the application of compressive sensing. An application of such a reconstruction method has been performed for 1H MRSI of in- vitro brain phantom, in vivo brain (normal, cancer), and prostate cancer MRSI data. The results of reconstruction indicate a significant potential to reduce acquisition times for such studies by 80%.